Evolutionary Computation Techniques: A Comparative Perspective (Studies in Computational Intelligence, 686)

Cuevas, Erik; Osuna, Valentín; Oliva, Diego

ISBN 10: 3319511084 ISBN 13: 9783319511085
Verlag: Springer, 2017
Neu Hardcover

Verkäufer Ria Christie Collections, Uxbridge, Vereinigtes Königreich Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

AbeBooks-Verkäufer seit 25. März 2015


Beschreibung

Beschreibung:

In. Bestandsnummer des Verkäufers ria9783319511085_new

Diesen Artikel melden

Inhaltsangabe:

This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently. Several comparisons among EC techniques have been reported in the literature, however, they all suffer from one limitation: their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. In each chapter, a complex engineering optimization problem is posed, and then a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods.

Von der hinteren Coverseite: This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently. Several comparisons among EC techniques have been reported in the literature, however, they all suffer from one limitation: their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. In each chapter, a complex engineering optimization problem is posed, and then a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Bibliografische Details

Titel: Evolutionary Computation Techniques: A ...
Verlag: Springer
Erscheinungsdatum: 2017
Einband: Hardcover
Zustand: New

Beste Suchergebnisse beim ZVAB

Beispielbild für diese ISBN

Cuevas, Erik
Verlag: Springer, 2017
ISBN 10: 3319511084 ISBN 13: 9783319511085
Gebraucht Hardcover

Anbieter: Buchpark, Trebbin, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently. Several comparisons among EC techniques have been reported in the literature, however, they all suffer from one limitation: their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. In each chapter, a complex engineering optimization problem is posed, and then a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods. Artikel-Nr. 28133340/12

Verkäufer kontaktieren

Gebraucht kaufen

EUR 74,31
EUR 105,00 shipping
Versand von Deutschland nach USA

Anzahl: 1 verfügbar

In den Warenkorb

Foto des Verkäufers

Erik Cuevas
ISBN 10: 3319511084 ISBN 13: 9783319511085
Neu Hardcover

Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Buch. Zustand: Neu. Neuware -This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently. Several comparisons among EC techniques have been reported in the literature, however, they all suffer from one limitation: their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. In each chapter, a complex engineering optimization problem is posed, and then a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch. Artikel-Nr. 9783319511085

Verkäufer kontaktieren

Neu kaufen

EUR 106,99
EUR 60,00 shipping
Versand von Deutschland nach USA

Anzahl: 2 verfügbar

In den Warenkorb

Foto des Verkäufers

Erik Cuevas
ISBN 10: 3319511084 ISBN 13: 9783319511085
Neu Hardcover

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently. Several comparisons among EC techniques have been reported in the literature, however, they all suffer from one limitation: their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. In each chapter, a complex engineering optimization problem is posed, and then a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods. Artikel-Nr. 9783319511085

Verkäufer kontaktieren

Neu kaufen

EUR 106,99
EUR 62,65 shipping
Versand von Deutschland nach USA

Anzahl: 1 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Cuevas, Erik (Author)/ Osuna, Valentín (Author)/ Oliva, Diego (Author)
Verlag: Springer, 2017
ISBN 10: 3319511084 ISBN 13: 9783319511085
Neu Hardcover

Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Hardcover. Zustand: Brand New. 9.50x6.50x0.75 inches. In Stock. Artikel-Nr. x-3319511084

Verkäufer kontaktieren

Neu kaufen

EUR 151,94
EUR 14,27 shipping
Versand von Vereinigtes Königreich nach USA

Anzahl: 2 verfügbar

In den Warenkorb